PointResNet 16 comprises of an encoder and decoder of UNet architecture [1]}.
Hence, we add 128 and 64 dimensional convolution transpose layers in the decoder part of the network. For segmentation task, PointResNet 11 and 16 models are evaluated on ShapeNetPart. The obtained accuracies are tabulated in TableREF  (right column). Both accuracies (93.67% and 94.73%) are inferior than the proposed model's result.
In Table REF  (second and third columns), we show the classification results on ModelNet 40 (third column) and ModelNet 10 (second column) datasets for various models. One can note that the performance of our PointResNet 10 is better as compared to other models.
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